Abstract:
South China is prone to floods and droughts, which are often caused by extremes in meteorological dryness and wetness conditions, such as heavy precipitation or dry spells, and their hydrological responses. Floods and droughts cause casualties and high agricultural and economic losses, whether directly or indirectly. Scientific information on the susceptibility of regional climate extremes and dryness and wetness pattern are neither available in high resolution nor quality, both in spatial and temporal extent, for the Zhujiang River Basin in South China. Data and methodological analyses have so far been inadequately used in existing studies. Therefore, the objective of this dissertation thesis is to develop and provide reliable baseline data and comprehensive evaluation methods for spatio-temporal pattern of the occurrence of extreme weather events for the Zhujiang River Basin.
In order to achieve the objective, new data are generated with high quality and high spatio-temporal resolution. Statistical methods, such as standardization, power spectrum, and specific probability distribution functions, were developed or modified in order to generate relevant indicators and to analyze changes and causes of climate extremes. Furthermore, the regional climate model CCLM and the hydrological model HBV-D, have been applied to identify and predict future spatio-temporal pattern in climate extremes.
For example, the identified spatio-temporal changes and projections in climate extremes deliver details of the regional variance and the probability to dryer conditions in the western part but to more extreme wet conditions in the northern and coastal areas of the Zhujiang River Basin. These and further detected temporal and regional patterns provide a sound basis to identify various regional and local prevention and adaptation measures in South China and to reduce the vulnerability and risks to extreme climate events.